3D shape analysis to reduce false positives for lung nodule detection systems
Using images from the Image Database Consortium and Image Database Resource
Initiative (LIDC–IDRI), we developed a methodology for classifying lung nodules. The …
Initiative (LIDC–IDRI), we developed a methodology for classifying lung nodules. The …
3D shape analysis to reduce false positives for lung nodule detection systems
A Oseas, AC Silva, AC de Paiva… - Medical and …, 2017 - search.proquest.com
Accepted: 5 October 2016/Published online: 17 October 2016© International Federation for
Medical and Biological Engineering 2016 cancer worldwide. Therefore, precocious …
Medical and Biological Engineering 2016 cancer worldwide. Therefore, precocious …
3D shape analysis to reduce false positives for lung nodule detection systems.
AC Silva, AC de Paiva, RA Nunes… - Medical & Biological …, 2016 - europepmc.org
Using images from the Image Database Consortium and Image Database Resource
Initiative (LIDC-IDRI), we developed a methodology for classifying lung nodules. The …
Initiative (LIDC-IDRI), we developed a methodology for classifying lung nodules. The …
3D shape analysis to reduce false positives for lung nodule detection systems
AO de Carvalho Filho, AC Silva… - Medical & …, 2017 - pubmed.ncbi.nlm.nih.gov
Using images from the Image Database Consortium and Image Database Resource
Initiative (LIDC-IDRI), we developed a methodology for classifying lung nodules. The …
Initiative (LIDC-IDRI), we developed a methodology for classifying lung nodules. The …